Alphatec Holdings (ATEC) Cost of Revenue (2010 - 2026)
Alphatec Holdings (ATEC) reported Cost of Revenue of $59.42 million for Q2 2026, up 5.3% from $56.44 million a year earlier and up 6.8% from the prior quarter.
Alphatec Holdings (ATEC) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Alphatec Holdings' Cost of Revenue came in at $237.69 million, up 11.7% year-over-year; for FY2025, it was $232.27 million, up 24.0% from FY2024.
- Cost of Revenue has increased for seven consecutive years, with a five-year compound annual growth rate of 40.5% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $187.3 million in FY2024 (+8.9%), $172.06 million in FY2023 (+46.1%), $117.81 million in FY2022 (+37.9%) and $85.45 million in FY2021 (+101.7%).
- Five-year quarterly Cost of Revenue spans a low of $21.72 million in Q1 2022 and a high of $63.44 million in Q4 2025.
- Year over year, Cost of Revenue has now increased in each of the last eight quarters, with growth averaging 20.4% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q4 2021 (growth of 128.7%); the low point was Q2 2024 (a decline of 17.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $55.63 million (Q1 2026), $63.44 million (Q4 2025) and $59.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Alphatec Holdings | 1.55 Bn | 974.42 Mn | 154.10 Mn | 59.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.42 Mn |
| Mar 31, 2026 | 55.63 Mn |
| Dec 31, 2025 | 63.44 Mn |
| Sep 30, 2025 | 59.20 Mn |
| Jun 30, 2025 | 56.44 Mn |
| Mar 31, 2025 | 53.18 Mn |
| Dec 31, 2024 | 55.21 Mn |
| Sep 30, 2024 | 47.99 Mn |
| Jun 30, 2024 | 42.98 Mn |
| Mar 31, 2024 | 41.13 Mn |
| Dec 31, 2023 | 42.78 Mn |
| Sep 30, 2023 | 38.22 Mn |
| Jun 30, 2023 | 52.38 Mn |
| Mar 31, 2023 | 38.69 Mn |
| Dec 31, 2022 | 37.09 Mn |
| Sep 30, 2022 | 30.32 Mn |
| Jun 30, 2022 | 28.68 Mn |
| Mar 31, 2022 | 21.72 Mn |
| Dec 31, 2021 | 28.74 Mn |
| Sep 30, 2021 | 23.27 Mn |
Alphatec Holdings Cost of Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=ATEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "ATEC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=ATEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();